Data Modeler

Job Title: Banking/Financial Data Modelers (with Retail banking experience) Location : Jersey City, NJ Job type: Contract Duration: Long-term JD: Banking/Financial Data Modeler (with Retail banking experience), 12+ years of experience Data modeler is responsible for designing and implementing data models that define the structure, organization, and relationship within the data systems. Essential skills required: • Banking, Financial industry knowledge and expertise • Data Modeling and expertise • Consumer and Investment Banking data modeling • Banking ontologies and taxonomies • Mapping of technical data models to ontologies and come up with business domain data models for creating banking data products. • Strong analytical problem-solving skills and attention to details for formulating effective data models • Relevant experience in designing and implementing data models and analytical solutions using dimensional and relational models • Design and implement end-to-end data models starting from raw data to the semantic layer that makes our data more accessible and understandable for different persona ranging from finance users, data analysts and automation • Understanding business processes and ability to align data models with organization goals. Strong analytical skills to assess data requirements and translate them into effective data models • Familiarity with data modeling tools such as Erwin, Hackolade and familiarity with various RDBMS and NoSQL databases • Data modeling experience in • Deposits – CD, Savings, Checking • Credit Cards – rewards cards, hotel, travel, business, and cobranded cards • Debit – Debit platform • Payment processing – Merchant, Ecommerce, ACH, business banking • Wealth Management • Investment • Work on some of the most complex and highly visible data problems in finance at the intersection of finance and technology • Ability to partner, prioritize, lead, negotiate, drive execution and influence • Laison between SMEs, Data Architects, Data Modelers to understand individual data domains and ensure acceptance from all parties • Engage and partner with Product owners, business users (technical and on-technical), data providers, technology teams, across large financial function to design and deliver data products • Experienced in end-to-end SDLC